Logs To Insights

How to Design Observability & Telemetry Systems

52 modules

210 lessons

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Part 1

Appendices

Appendix A - Diagram Templates by StepSign in
Appendix B - Mapping Concepts to Real-World Observability StacksSign in
Appendix C - Readiness Checklists for Moving Up the LadderSign in
Appendix D - Glossary (Canonical Definitions)Sign in

Part 2

Course Setup and the Incremental Ladder

Course Setup and the Incremental LadderSign in
Why "Logs to Insights"Sign in
How to Use This CourseSign in
The Incremental Ladder (Step 0 to Step 7)Sign in
The Course LensesSign in
Diagram Legend and Notation TypesSign in

Part 3

From Monitoring to Observability

From Monitoring to ObservabilitySign in
Monitoring vs ObservabilitySign in
Black-Box vs White-Box ViewsSign in
Observability as New QuestionsSign in

Part 4

The Three Core Signal Families

The Three Core Signal FamiliesSign in
Logs, Metrics, TracesSign in
Cardinality, Volume, StructureSign in
Why You Need All ThreeSign in

Part 5

Observability as Part of System Design

Observability as Part of System DesignSign in
Instrumentation as PrerequisiteSign in
Telemetry at Design TimeSign in
Aligning with BoundariesSign in

Part 6

Observability Layers and Planes

Observability Layers and PlanesSign in
Application to Business LayersSign in
Control Plane vs Data Plane SignalsSign in
Cross-Cutting ConcernsSign in

Part 7

Diagramming Observability Systems

Diagramming Observability SystemsSign in
Telemetry Flow DiagramsSign in
Observability Overlays on ArchitectureSign in
Signal Maps and Dependency GraphsSign in

Part 8

Step 0 Logs: The Narrative of a System

Step 0 Logs: The Narrative of a SystemSign in
Text vs Structured LogsSign in
Log Levels with DisciplineSign in
Per-Request vs Periodic LogsSign in

Part 9

Step 0 Metrics: Numbers Over Time

Step 0 Metrics: Numbers Over TimeSign in
Metric TypesSign in
Labels and CardinalitySign in
Core Service MetricsSign in

Part 10

Step 0 Traces: End-to-End Request Journeys

Step 0 Traces: End-to-End Request JourneysSign in
Spans and Trace TreesSign in
Context and AttributesSign in
Partial Traces and SamplingSign in

Part 11

Step 0 Choosing the Right Signal for the Question

Step 0 Choosing the Right Signal for the QuestionSign in
Detection vs Measurement vs DiagnosisSign in
Signal Anti-PatternsSign in
First Combined ViewSign in

Part 12

Step 0 Minimal Observability for a Single Service

Step 0 Minimal Observability for a Single ServiceSign in
Minimum Viable Log Structure and Key MetricsSign in
Basic Tracing Around Critical PathsSign in
First Service Health DashboardSign in

Part 13

Instrumentation as Code

Instrumentation as CodeSign in
Libraries and APIsSign in
Abstraction vs ControlSign in
Close to Business LogicSign in

Part 14

Structured Logging and Context

Structured Logging and ContextSign in
Key-Value LoggingSign in
Correlation IDs and Trace IDs in LogsSign in
Redaction and PII-Safe PatternsSign in

Part 15

Metrics Instrumentation Patterns

Metrics Instrumentation PatternsSign in
Request and Error CountersSign in
Latency HistogramsSign in
Resource and Business MetricsSign in

Part 16

Tracing and Context Propagation

Tracing and Context PropagationSign in
Propagating Context Across ServicesSign in
Auto-Instrumentation vs Manual SpansSign in
Sampling StrategiesSign in

Part 17

Cross-Cutting Instrumentation Concerns

Cross-Cutting Instrumentation ConcernsSign in
Incoming Request InstrumentationSign in
Outgoing CallsSign in
Shared Libraries as Instrumentation PointsSign in

Part 18

Instrumentation Quality and Hygiene

Instrumentation Quality and HygieneSign in
Naming ConventionsSign in
Avoiding High Cardinality and NoiseSign in
Reviews and GuidelinesSign in

Part 19

Telemetry Agents and Sidecars

Telemetry Agents and SidecarsSign in
Host Agents and CollectorsSign in
Sidecars vs Shared Daemons vs ExportersSign in
Security and Resource CostsSign in

Part 20

Logs Collection Pipelines

Logs Collection PipelinesSign in
Shippers and AggregatorsSign in
Log FormatsSign in
Buffering, Backpressure, LossSign in

Part 21

Metrics Collection Mechanics

Metrics Collection MechanicsSign in
Pull vs Push CollectionSign in
Exporter ModelSign in
Aggregation and DownsamplingSign in

Part 22

Tracing Export Pipelines

Tracing Export PipelinesSign in
Exporters, Collectors, BackendsSign in
Batching and CompressionSign in
High Trace VolumesSign in

Part 23

Multi-Hop Telemetry Flows

Multi-Hop Telemetry FlowsSign in
Local to Regional to CentralSign in
Gateways, Relays, Edge BufferingSign in
Designing for PartitionsSign in

Part 24

Observability Ingestion Architecture

Observability Ingestion ArchitectureSign in
Central APIs vs Per-Signal PathsSign in
Multi-Tenant Pipelines and IsolationSign in
Ingestion SLOsSign in

Part 25

Storage Models for Telemetry

Storage Models for TelemetrySign in
Time-Series, Logs, Traces BackendsSign in
Row vs Column Trade-OffsSign in
Hot/Warm/Cold TiersSign in

Part 26

Indexing Logs

Indexing LogsSign in
Choosing Fields to IndexSign in
Full-Text vs Structured IndexingSign in
Index Size and PerformanceSign in

Part 27

Metrics Storage and Querying

Metrics Storage and QueryingSign in
Time-Series ModelsSign in
Downsampling and Retention TiersSign in
Query PatternsSign in

Part 28

Trace Storage and Retrieval

Trace Storage and RetrievalSign in
Trace-ID LookupsSign in
Partial vs Full Trace StorageSign in
Attribute IndexingSign in

Part 29

Retention Policies and Cost Management

Retention Policies and Cost ManagementSign in
Per-Signal and Per-Environment RetentionSign in
Hot-Short vs Long-Term ArchivalSign in
Cardinality and Volume ControlsSign in

Part 30

Multi-Region and Multi-Tenant Observability Storage

Multi-Region and Multi-Tenant Observability StorageSign in
Sharding StrategiesSign in
Region-Local vs Global StorageSign in
Residency and Regulation ConstraintsSign in

Part 31

Designing Health Dashboards

Designing Health DashboardsSign in
Golden SignalsSign in
Service Overviews vs Deep DivesSign in
Use-Case DashboardsSign in

Part 32

Querying Telemetry for Visualizations

Querying Telemetry for VisualizationsSign in
Query Patterns Across SignalsSign in
Chart ConstructionSign in
Avoiding Misleading VisualsSign in

Part 33

Alerting Fundamentals

Alerting FundamentalsSign in
Threshold AlertsSign in
Multi-Signal ConditionsSign in
Alert Fatigue PreventionSign in

Part 34

Alert Routing and Incident Workflows

Alert Routing and Incident WorkflowsSign in
On-Call, Escalation, OwnershipSign in
Integrations with Paging and TicketingSign in
Runbooks and Documentation LinksSign in

Part 35

Visual Narratives and Event Annotation

Visual Narratives and Event AnnotationSign in
Overlaying Change EventsSign in
Timeline CorrelationSign in
Dashboards as StoriesSign in

Part 36

UX of Observability Tools

UX of Observability ToolsSign in
Query Performance and Responsive UIsSign in
Navigation PathsSign in
Approachability for Non-ExpertsSign in

Part 37

SLIs, SLOs, and SLAs

SLIs, SLOs, and SLAsSign in
SLIs as Measured EvidenceSign in
Choosing User-Centered SLOsSign in
SLAs vs SLOsSign in

Part 38

Error Budgets and Decision-Making

Error Budgets and Decision-MakingSign in
Allowed UnreliabilitySign in
Burn Rate and ConsumptionSign in
Using Budgets to Guide ChangeSign in

Part 39

Implementing SLOs in Telemetry

Implementing SLOs in TelemetrySign in
SLI Queries on MetricsSign in
Rolling Windows and Time SlicesSign in
SLO Dashboards and AlertsSign in

Part 40

Multi-Region and Multi-Service SLOs

Multi-Region and Multi-Service SLOsSign in
Per-Region vs Global SLOsSign in
Dependency-Chain SLOsSign in
Where to MeasureSign in

Part 41

Reliability Reviews and Reporting

Reliability Reviews and ReportingSign in
SLO Review CadenceSign in
Error-Budget PostmortemsSign in
Communicating ReliabilitySign in

Part 42

Types of Incidents and Failures

Types of Incidents and FailuresSign in
Gradual Degradations vs Sudden SpikesSign in
Partial Outages vs Region FailuresSign in
Unknown-Unknowns vs Known FailuresSign in

Part 43

Anomaly Detection Basics

Anomaly Detection BasicsSign in
Baselines and Trend DetectionSign in
Multi-Dimensional AnomaliesSign in
Sensitivity vs False PositivesSign in

Part 44

Correlating Signals

Correlating SignalsSign in
Linking Logs, Metrics, TracesSign in
Correlation and Request IDsSign in
Visual CorrelationSign in

Part 45

RCA Workflows

RCA WorkflowsSign in
From Alert to HypothesisSign in
Dependency Maps and Service GraphsSign in
Structured Analysis and Incident NarrativesSign in

Part 46

Tools for Investigation

Tools for InvestigationSign in
Trace Explorers and Log PivotingSign in
Service Maps and Topology ViewsSign in
Saved Queries and MacrosSign in

Part 47

Learning from Incidents

Learning from IncidentsSign in
Blameless ReviewsSign in
Updating Dashboards, Alerts, InstrumentationSign in
Capturing Failure SignaturesSign in

Part 48

Observability as a Platform

Observability as a PlatformSign in
Central Platform for All TeamsSign in
Platform as ProductSign in
Self-Service OnboardingSign in

Part 49

Multi-Tenancy, Governance, and Access Control

Multi-Tenancy, Governance, and Access ControlSign in
Tenant Isolation - Team/Project/Service Boundaries and What Can Fail TogetherSign in
RBAC for Telemetry - Controlling Who Can See What Without Blocking Legitimate DebuggingSign in
Privacy and Data Minimization - Compliance Posture and Reducing Telemetry to What Is NecessarySign in

Part 50

Cost Management and Telemetry Budgeting

Cost Management and Telemetry BudgetingSign in
Cost Drivers - Volume, Retention, Cardinality, and Query Patterns as the Main LeversSign in
Budgets and Quotas - Allocating Telemetry Capacity and Making Trade-offs Explicit by Team or ServiceSign in
Feedback Loops to Instrumentation and Sampling - Controlling Cost by Changing What You Emit, Not Only Where You Store ItSign in

Part 51

Integrations with the Rest of the Platform

Integrations with the Rest of the PlatformSign in
CI/CD Integration - Deploy Markers and Pipeline Metrics as Essential Investigation ContextSign in
Incident, Flags, Config Systems - Connecting Observability to Other Control Systems Without Duplicating TruthSign in
Business Analytics Boundaries - Integrating Product Metrics While Preserving Semantics and GovernanceSign in

Part 52

Reference Architectures and Maturity Models

Reference Architectures and Maturity ModelsSign in
Small-Team Stack - Minimal Pipelines and Storage That Still Support Reliable DebuggingSign in
Mid-Size Org Platform - Shared Platform with SLO Discipline and Standardized WorkflowsSign in
Large Org Platform - Multi-Region, Multi-Cloud, Governed Observability with Cost Controls and Tenancy BoundariesSign in

Course overview